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Cross-Lingual Natural Language Inference
Cross Lingual Natural Language Inference On 1
Cross Lingual Natural Language Inference On 1
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy
Paper Title
XLM-R R4F
85.2%
Better Fine-Tuning by Reducing Representational Collapse
BERT
74.3%
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
X-BiLSTM
68.7%
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
X-CBOW
60.7%
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
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Cross Lingual Natural Language Inference On 1 | SOTA | HyperAI